Wavelet based hierarchical coding scheme for radar image compression

Xiaoli Jiao; Jifeng He

doi:10.1117/12.745655

14 November 2007 Wavelet based hierarchical coding scheme for radar image compression

Xiaoli Jiao, Jifeng He

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891Y (2007) https://doi.org/10.1117/12.745655
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper presents a wavelet based hierarchical coding scheme for radar image compression. Radar signal is firstly quantized to digital signal, and reorganized as raster-scanned image according to radar's repeated period frequency. After reorganization, the reformed image is decomposed to image blocks with different frequency band by 2-D wavelet transformation, each block is quantized and coded by the Huffman coding scheme. A demonstrating system is developed, showing that under the requirement of real time processing, the compression ratio can be very high, while with no significant loss of target signal in restored radar image.

Citation Download Citation

Xiaoli Jiao and Jifeng He "Wavelet based hierarchical coding scheme for radar image compression", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891Y (14 November 2007); https://doi.org/10.1117/12.745655

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